Last 5 Days of Possible L.Polyedra Blooms in SoCal Bight

Below is a map displaying the last 5 days of detected bioluminescent algal blooms off of the coast of Southern California. These blooms are detected using data from the JAXA GCOM/SGLI satelite and the methodology described here

In the top right of the map there is a widget to control the displayed layers. Each layer represents a single day of detections

This map is updated daily (in progress) with new data to provide the most recent 5 days of data that is avaliable.

Code

from pathlib import Path
import json
from ipyleaflet import Map, GeoJSON, LayersControl
from ipywidgets import IntSlider, interact, Layout
from IPython.display import display

poly_path = Path('.')
poly_files = list(poly_path.glob('data/poly_sb*.geojson'))

data_list = []

for file in poly_files:
    with open(file) as f:
        data = json.load(f)
        data_list.append(data)


def random_color(feature):
    return {
        'color': 'gray',
        'fillColor': '#01eeff',
    }


layout = Layout(width='100%', height='700px')

m = Map(center=(34, -119), zoom=8, layout=layout, scroll_wheel_zoom=True)

control = LayersControl(position='topright')
m.add_control(control)

for poly in data_list:

    name = poly['name']

    geo_json = GeoJSON(
        name=name,
        data=poly,
        style={
            'opacity': .7, 'dashArray': '0', 'fillOpacity': 0.5, 'weight': 1
        },
        hover_style={
            'color': 'white', 'dashArray': '0', 'fillOpacity': 0.4
        },
        style_callback=random_color)
    
    m.add_layer(geo_json)

display(m)